# US 12,183,461 B2 · Dynamically updating platform for age-related lifestyle and care decisions with predictive analytics

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 12,183,461 B2
- Document ID: US12183461B2
- Status: Granted
- Kind: B2
- Application number: 17/324,750
- Filed: 2021-05-19
- Published: 2022-11-24
- Granted: 2024-12-31
- Earliest claimed: 2021-05-19
- Assignees: Roobrik, Inc.
- Applicants: Roobrik, Inc.
- Inventors: Nate O'Keefe; Jessica Bloch-Schulman; Anand Raman; Kellie Rash
- Web page: https://patentgrep.com/patent/US12183461B2

## CPC

- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G06N 20/00: Machine learning
- G16H 10/60: for patient-specific data, e.g. for electronic patient records
- G16H 20/70: relating to mental therapies, e.g. psychological therapy or autogenous training
- G16H 50/30: for calculating health indices; for individual health risk assessment
- G06N 3/006: based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
- G06N 3/0442: characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
- G06N 3/126: Evolutionary algorithms, e.g. genetic algorithms or genetic programming
- G06N 5/045: Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence
- G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks
- G06N 20/10: using kernel methods, e.g. support vector machines [SVM]
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

## Abstract

Systems and methods for a care decision platform operable to facilitate shared decision making for care services and/or lifestyle choices related to aging. The present invention incorporates medical decision aids, recommendation engines, and scoring algorithms to design a dynamically updating curriculum for improving customer outcomes as a result of care services and/or lifestyle choices. The curriculum is operable to be implemented as a customer relationship management tool for a care service provider.

## Claims

### Claim 1

A system for engaging with care service options and/or lifestyle choices, comprising:
at least one user device;
at least one cloud platform;
an assessment platform;
a data collection engine;
a scoring engine;
a recommendation engine; and
a decision coach;
wherein the at least one user device is operable for network communication with the at least one cloud platform;
wherein the assessment platform is operable to administer at least one assessment to at least one user account on at least one user device and receive assessment data in response to the at least one assessment;
wherein the assessment platform is operable to receive financial data about the at least one user account from a plurality of interested third party devices;
wherein the assessment platform is operable to receive data about the at least one user account from the plurality of interested third party devices;
wherein the data collection engine is operable to collect passive data from the at least one user device and combine the passive data, the data from the plurality of interested third party devices, the financial data, and the assessment data into user data, wherein the user data is in a standardized format;
wherein the data collection engine is operable to determine the location of the at least one user device using a global positioning system (GPS);
wherein the scoring engine is operable to generate at least one score based on the user data;
wherein the recommendation engine is operable to generate at least one recommendation based on the user data;
wherein the recommendation engine is operable to utilize the location of the at least one user device in generating the at least one recommendation;
wherein the decision coach is operable to design a curriculum of next steps based on the user data, the at least one score, and the at least one recommendation;
wherein the decision coach is operable to mark data disagreement between the passive data obtained from the at least one user device, the assessment data, and the data from the plurality of interested third party devices;
wherein the decision coach is operable to resolve the data disagreement;
wherein the recommendation engine is operable to incorporate aggregate data and/or predictive analytics to make recommendations for resolving areas of data disagreement, wherein the recommendations are based on previously effective steps for resolving areas of data disagreement;
wherein the decision coach is operable to deliver the curriculum to the at least one user account on the at least one user device;
wherein the decision coach is operable to dynamically adjust the curriculum based on updated user data; and
wherein the at least one cloud platform is operable to store the user data and the curriculum.

### Claim 2 (depends on 1)

The system of claim 1, wherein the at least one user device is a wearable device, a mobile device, a tablet, a computer, a smart speaker, and/or a smart phone.

### Claim 3 (depends on 1)

The system of claim 1, wherein the user data further includes sensor data.

### Claim 4 (depends on 1)

The system of claim 1, wherein the user data further includes electronic health record (EHR) data and wherein the data collection engine is operable to integrate with an EHR platform.

### Claim 5 (depends on 1)

The system of claim 1, wherein the passive data includes web analytics, urchin tracking module (UTM) parameters, date, time, online user behaviors, a completion rate, engagement metrics, response distribution, hypertext markup language (HTML) requests, and/or location information.

### Claim 6 (depends on 1)

The system of claim 1, wherein the data collection engine is operable to apply at least one filter to the user data.

### Claim 7 (depends on 1)

The system of claim 1, wherein the at least one score is a readiness for a care service option and/or a lifestyle choice.

### Claim 8 (depends on 1)

The system of claim 1, wherein the assessment platform is operable to prompt the at least one user account on the at least one user device for the updated user data according to a schedule.

### Claim 9 (depends on 1)

The system of claim 1, wherein the decision coach is operable to correlate a plurality of input data points with a plurality of outcome data points to design and/or adjust the curriculum.

### Claim 10 (depends on 1)

The system of claim 1, wherein the decision coach is operable to design and/or adjust the curriculum using at least one machine learning algorithm.

### Claim 11 (depends on 1)

The system of claim 1, wherein the decision coach is operable to design and/or adjust the curriculum using at least one predictive analytics model.

### Claim 12 (depends on 1)

The system of claim 1, wherein the decision coach is further operable to design and/or adjust the curriculum using past user outcomes data.

### Claim 13 (depends on 1)

The system of claim 1, wherein the curriculum includes a plurality of paths and wherein the decision coach is operable to choose one of the plurality of paths based on the updated user data.

### Claim 14 (depends on 1)

The system of claim 1, wherein the decision coach is operable to adjust the curriculum based on the updated user data in real time or near real time.

### Claim 15

A system for engaging with care service options and/or lifestyle choices, comprising:
at least one user device;
at least one cloud platform;
an assessment platform;
a data collection engine;
a scoring engine;
a recommendation engine; and
a decision coach;
wherein the at least one user device is operable for network communication with the at least one cloud platform;
wherein the assessment platform is operable to administer at least one assessment to at least two user accounts on the at least one user device and receive assessment data from the at least two user accounts in response to the at least one assessment;
wherein the assessment platform is operable to receive financial data about the at least two user accounts from a plurality of interested third party devices;
wherein the assessment platform is operable to receive data about the at least one user account from the plurality of interested third party devices;
wherein the data collection engine is operable to collect passive data associated with each of the at least two user accounts from the at least one user device and combine the passive data, the data from the plurality of interested third party devices, the financial data, and the assessment data into user data, wherein the user data is in a standardized format;
wherein the data collection engine is operable to determine a length of time taken to answer at least one question of the at least one assessment by measuring a length of screen time of the at least one user device used to answer the at least one question of the at least one assessment and determine if at least one follow-up question is required;
wherein the scoring engine is operable to generate at least one score based on the user data;
wherein the recommendation engine is operable to generate at least one recommendation based on the user data;
wherein the decision coach is operable to design at least one curriculum of next steps based on the user data, the at least one score, and the at least one recommendation;
wherein the decision coach is operable to mark data disagreement between the passive data obtained from the at least one user device, the assessment data, and the data from the plurality of interested third party devices;
wherein the decision coach is operable to resolve the data disagreement;
wherein the recommendation engine is operable to incorporate aggregate data and/or predictive analytics to make recommendations for resolving areas of data disagreement, wherein the recommendations are based on previously effective steps for resolving areas of data disagreement;
wherein the decision coach is operable to deliver the at least one curriculum on the at least one user device;
wherein the decision coach is operable to deliver a second curriculum to the plurality of interested third party devices;
wherein the delivery of the at least one curriculum is accompanied by at least one notification;
wherein the decision coach is operable to dynamically adjust the at least one curriculum based on updated user data; and
wherein the at least one cloud platform is operable to store the user data and the at least one curriculum.

### Claim 16 (depends on 15)

The system of claim 15, wherein the decision coach is operable to deliver the at least one curriculum to each of the at least two user accounts simultaneously.

### Claim 17 (depends on 15)

The system of claim 15, wherein the decision coach is operable to design and adjust an aggregate curriculum based on the user data, the at least one score, and the at least one recommendation.

### Claim 18

A method for engaging with care service options and/or lifestyle choices, comprising:
an assessment platform administering at least one assessment to at least one user account on at least one user device and receiving assessment data in response to the at least one assessment;
the assessment platform receiving financial data about the at least one user account from a plurality of interested third party devices;
the assessment platform receiving data about the at least one user account from the plurality of interested third party devices;
a data collection engine collecting passive data from the at least one user device and combining the assessment data, the data from the plurality of interested third party devices, the financial data, and the passive data into user data, wherein the user data is in a standard format;
the data collection engine determining a length of time take to answer at least one question of the at least one assessment by measuring a length of screen time of the at least one user device used to answer the at least one question of the at least one assessment and determine if at least one follow-up question is required;
a scoring engine generating at least one score based on the user data;
a recommendation engine generating at least one recommendation based on the user data;
a decision coach designing at least one curriculum of next steps based on the user data, the at least one score, and the at least one recommendation;
the decision coach marking data disagreement between the passive data obtained from the at least one user device, the assessment data, and the data from the plurality of interested third party devices;
the decision coach resolving the data disagreement;
the recommendation engine incorporating aggregate data and/or predictive analytics to generate recommendations for resolving the areas of data disagreement, wherein the recommendations are based on previously effective steps for resolving areas of data disagreement;
the decision coach delivering the at least one curriculum on the at least one user device;
wherein the delivery of the at least one curriculum in accompanied by at least one notification;
the decision coach delivering a second curriculum to the plurality of interested third party devices;
the decision coach dynamically adjusting the at least one curriculum based on updated user data; and
at least one cloud platform storing the user data and the at least one curriculum;
wherein the at least one user device is in network communication with the at least one cloud platform.

### Claim 19

The method of system 18, further comprising the decision coach designing and adjusting the at least one curriculum using at least one machine learning algorithm.

### Claim 20 (depends on 1)

The system of claim 1, wherein the assessment platform is operable to utilize a voice analyzer to detect an emotional and/or a mental state of a user associated with the at least one user device.